code: def initialize(self, model):
      self.last_w = None
      self.current_outlier_dims = None
      self.hvalues = []
      self.outliers = []
      self.hvalue2outlier_idx = {}
      self.initialized = True
      self.hooks = []
  
      for n, m in model.named_modules():
          if isinstance(m, torch.nn.Linear):
              self.hooks.append(
                  m.register_forward_pre_hook(outlier_hook)
              )
  
file_path: bitsandbytes/bitsandbytes/utils.py
imports: import json
  import shlex
  import subprocess
  import torch
  from typing import Tuple
label_desc: Use image node_id 2 for calling the OutlierTracer obj's underlying member method code with example usage: obj.initialize(model) without return types